Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Genetics. 2009 Oct;183(2):639-50. doi: 10.1534/genetics.109.106492. Epub 2009 Jul 20.
In this work we study how mutations that change physical properties of cell proteins (stability) affect population survival and growth. We present a model in which the genotype is presented as a set folding free energies of cell proteins. Mutations occur upon replication, so stabilities of some proteins in daughter cells differ from those in the parent cell by amounts deduced from the distribution of mutational effects on protein stability. The genotype-phenotype relationship posits that the cell's fitness (replication rate) is proportional to the concentration of its folded proteins and that unstable essential proteins result in lethality. Simulations reveal that lethal mutagenesis occurs at a mutation rate close to seven mutations in each replication of the genome for RNA viruses and at about half that rate for DNA-based organisms, in accord with earlier predictions from analytical theory and experimental results. This number appears somewhat dependent on the number of genes in the organisms and the organism's natural death rate. Further, our model reproduces the distribution of stabilities of natural proteins, in excellent agreement with experiments. We find that species with high mutation rates tend to have less stable proteins compared to species with low mutation rates.
在这项工作中,我们研究了改变细胞蛋白物理性质(稳定性)的突变如何影响种群的生存和生长。我们提出了一个模型,其中基因型表示为一组细胞蛋白的折叠自由能。突变发生在复制过程中,因此子细胞中某些蛋白质的稳定性与其亲代细胞中的稳定性不同,其差异量是根据蛋白质稳定性的突变效应分布推断出来的。基因型-表型关系假定细胞的适合度(复制率)与折叠蛋白的浓度成正比,不稳定的必需蛋白会导致致死性。模拟结果表明,对于 RNA 病毒,致死性诱变发生在每个基因组复制的突变率接近七个突变左右,而对于基于 DNA 的生物,突变率约为其一半,这与早期的分析理论预测和实验结果相符。这个数字似乎与生物体中的基因数量和生物体的自然死亡率有些关系。此外,我们的模型再现了天然蛋白质稳定性的分布,与实验结果非常吻合。我们发现,与突变率低的物种相比,突变率高的物种往往具有更不稳定的蛋白质。